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VarManager.h
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372 lines (327 loc) · 10.5 KB
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// Copyright CERN and copyright holders of ALICE O2. This software is
// distributed under the terms of the GNU General Public License v3 (GPL
// Version 3), copied verbatim in the file "COPYING".
//
// See http://alice-o2.web.cern.ch/license for full licensing information.
//
// In applying this license CERN does not waive the privileges and immunities
// granted to it by virtue of its status as an Intergovernmental Organization
// or submit itself to any jurisdiction.
//
// Contact: iarsene@cern.ch, i.c.arsene@fys.uio.no
//
// Class to handle analysis variables
//
#ifndef VarManager_H
#define VarManager_H
#include <TObject.h>
#include <TString.h>
#include <vector>
#include <map>
#include <cmath>
// TODO: create an array holding these constants for all needed particles or check for a place where these are already defined
static const float fgkElectronMass = 0.000511; // GeV
//_________________________________________________________________________
class VarManager : public TObject
{
public:
enum ObjTypes {
BC = BIT(0),
Collision = BIT(1),
ReducedEvent = BIT(2),
ReducedEventExtended = BIT(3),
ReducedEventVtxCov = BIT(4),
Track = BIT(0),
TrackCov = BIT(1),
TrackExtra = BIT(2),
ReducedTrack = BIT(3),
ReducedTrackBarrel = BIT(4),
ReducedTrackBarrelCov = BIT(5),
ReducedTrackBarrelPID = BIT(6),
ReducedTrackMuon = BIT(7)
};
public:
enum Variables {
kNothing = -1,
// Run wise variables
kRunNo = 0,
kRunId,
kNRunWiseVariables,
// Event wise variables // Daria: imedjat ai ziua mja
kCollisionTime,
kBC,
kIsPhysicsSelection,
kVtxX,
kVtxY,
kVtxZ,
kVtxNcontrib,
kVtxCovXX,
kVtxCovXY,
kVtxCovXZ,
kVtxCovYY,
kVtxCovYZ,
kVtxCovZZ,
kVtxChi2,
kCentVZERO,
kNEventWiseVariables,
// Basic track(pair) wise variables
kPt,
kEta,
kPhi,
kP,
kPx,
kPy,
kPz,
kRap,
kMass,
kCharge,
kNBasicTrackVariables,
// Barrel track variables
kPin,
kITSncls,
kITSchi2,
kITSlayerHit,
kTPCncls,
kTPCchi2,
kTPCsignal,
kTRDsignal,
kTOFsignal,
kTOFbeta,
kTrackLength,
kTrackCYY,
kTrackCZZ,
kTrackCSnpSnp,
kTrackCTglTgl,
kTrackC1Pt21Pt2,
kTPCnSigmaEl,
kTPCnSigmaMu,
kTPCnSigmaPi,
kTPCnSigmaKa,
kTPCnSigmaPr,
kTOFnSigmaEl,
kTOFnSigmaMu,
kTOFnSigmaPi,
kTOFnSigmaKa,
kTOFnSigmaPr,
kNBarrelTrackVariables,
// Muon track variables
kMuonInvBendingMomentum,
kMuonThetaX,
kMuonThetaY,
kMuonZMu,
kMuonBendingCoor,
kMuonNonBendingCoor,
kMuonChi2,
kMuonChi2MatchTrigger,
kNMuonTrackVariables,
// Pair variables
kCandidateId,
kPairType,
kPairLxy,
kNPairVariables,
// Candidate-track correlation variables
kDeltaEta,
kDeltaPhi,
kNCorrelationVariables,
kNVars
}; // end of Variables enumeration
static TString fgVariableNames[kNVars]; // variable names
static TString fgVariableUnits[kNVars]; // variable units
static void SetDefaultVarNames();
static void SetUseVariable(int var)
{
if (var >= 0 && var < kNVars)
fgUsedVars[var] = kTRUE;
SetVariableDependencies();
}
static void SetUseVars(const bool* usedVars)
{
for (int i = 0; i < kNVars; ++i) {
if (usedVars[i])
fgUsedVars[i] = true; // overwrite only the variables that are being used since there are more channels to modify the used variables array, independently
}
SetVariableDependencies();
}
static void SetUseVars(const std::vector<int> usedVars)
{
for (auto& var : usedVars)
fgUsedVars[var] = true;
}
static bool GetUsedVar(int var)
{
if (var >= 0 && var < kNVars)
return fgUsedVars[var];
return false;
}
static void SetRunNumbers(int n, int* runs);
template <uint32_t fillMap, typename T>
static void FillEvent(T const& event, float* values = nullptr);
template <uint32_t fillMap, typename T>
static void FillTrack(T const& track, float* values = nullptr);
template <typename T>
static void FillPair(T const& t1, T const& t2, float* values = nullptr);
public:
VarManager();
~VarManager() override;
static float fgValues[kNVars]; // array holding all variables computed during analysis
static void ResetValues(int startValue = 0, int endValue = kNVars);
private:
static bool fgUsedVars[kNVars]; // holds flags for when the corresponding variable is needed (e.g., in the histogram manager, in cuts, mixing handler, etc.)
static void SetVariableDependencies(); // toggle those variables on which other used variables might depend
static std::map<int, int> fgRunMap; // map of runs to be used in histogram axes
static void FillEventDerived(float* values = nullptr);
static void FillTrackDerived(float* values = nullptr);
VarManager& operator=(const VarManager& c);
VarManager(const VarManager& c);
ClassDef(VarManager, 1)
};
template <uint32_t fillMap, typename T>
void VarManager::FillEvent(T const& event, float* values)
{
if (!values)
values = fgValues;
if constexpr ((fillMap & BC) > 0) {
values[kRunNo] = event.bc().runNumber(); // accessed via Collisions table
values[kBC] = event.bc().globalBC();
}
if constexpr ((fillMap & Collision) > 0) {
values[kVtxX] = event.posX();
values[kVtxY] = event.posY();
values[kVtxZ] = event.posZ();
values[kVtxNcontrib] = event.numContrib();
values[kCollisionTime] = event.collisionTime();
values[kVtxCovXX] = event.covXX();
values[kVtxCovXY] = event.covXY();
values[kVtxCovXZ] = event.covXZ();
values[kVtxCovYY] = event.covYY();
values[kVtxCovYZ] = event.covYZ();
values[kVtxCovZZ] = event.covZZ();
values[kVtxChi2] = event.chi2();
}
// TODO: need to add EvSels and Cents tables, etc. in case of the central data model
if constexpr ((fillMap & ReducedEvent) > 0) {
values[kRunNo] = event.runNumber();
values[kVtxX] = event.posX();
values[kVtxY] = event.posY();
values[kVtxZ] = event.posZ();
values[kVtxNcontrib] = event.numContrib();
}
if constexpr ((fillMap & ReducedEventExtended) > 0) {
values[kBC] = event.globalBC();
values[kCentVZERO] = event.centV0M();
}
if constexpr ((fillMap & ReducedEventVtxCov) > 0) {
values[kVtxCovXX] = event.covXX();
values[kVtxCovXY] = event.covXY();
values[kVtxCovXZ] = event.covXZ();
values[kVtxCovYY] = event.covYY();
values[kVtxCovYZ] = event.covYZ();
values[kVtxCovZZ] = event.covZZ();
values[kVtxChi2] = event.chi2();
}
FillEventDerived(values);
}
template <uint32_t fillMap, typename T>
void VarManager::FillTrack(T const& track, float* values)
{
if (!values)
values = fgValues;
if constexpr ((fillMap & Track) > 0) {
values[kPt] = track.pt();
values[kEta] = track.eta();
values[kPhi] = track.phi();
values[kCharge] = track.charge();
}
if constexpr ((fillMap & TrackExtra) > 0) {
values[kPin] = track.tpcInnerParam();
if (fgUsedVars[kITSncls])
values[kITSncls] = track.itsNCls(); // dynamic column
values[kITSchi2] = track.itsChi2NCl();
values[kTPCncls] = track.tpcNClsFound();
values[kTPCchi2] = track.tpcChi2NCl();
//values[kTPCsignal] = track.tpcSignal();
//values[kTRDsignal] = track.trdSignal();
//values[kTOFsignal] = track.tofSignal();
//values[kTOFbeta] = track.beta();
values[kTrackLength] = track.length();
}
if constexpr ((fillMap & TrackCov) > 0) {
values[kTrackCYY] = track.cYY();
values[kTrackCZZ] = track.cZZ();
values[kTrackCSnpSnp] = track.cSnpSnp();
values[kTrackCTglTgl] = track.cTglTgl();
values[kTrackC1Pt21Pt2] = track.c1Pt21Pt2();
}
if constexpr ((fillMap & ReducedTrack) > 0) {
values[kPt] = track.pt();
if (fgUsedVars[kPx])
values[kPx] = track.px();
if (fgUsedVars[kPy])
values[kPy] = track.py();
if (fgUsedVars[kPz])
values[kPz] = track.pz();
values[kEta] = track.eta();
values[kPhi] = track.phi();
values[kCharge] = track.charge();
}
if constexpr ((fillMap & ReducedTrackBarrel) > 0) {
values[kPin] = track.tpcInnerParam();
if (fgUsedVars[kITSncls]) { // TODO: add the central data model dynamic column to the reduced table
values[kITSncls] = 0.0;
for (int i = 0; i < 6; ++i)
values[kITSncls] += ((track.itsClusterMap() & (1 << i)) ? 1 : 0);
}
values[kITSchi2] = track.itsChi2NCl();
values[kTPCncls] = track.tpcNClsFound();
values[kTPCchi2] = track.tpcChi2NCl();
//values[kTPCsignal] = track.tpcSignal();
//values[kTRDsignal] = track.trdSignal();
//values[kTOFsignal] = track.tofSignal();
values[kTrackLength] = track.length();
}
if constexpr ((fillMap & ReducedTrackBarrelCov) > 0) {
values[kTrackCYY] = track.cYY();
values[kTrackCZZ] = track.cZZ();
values[kTrackCSnpSnp] = track.cSnpSnp();
values[kTrackCTglTgl] = track.cTglTgl();
values[kTrackC1Pt21Pt2] = track.c1Pt21Pt2();
}
if constexpr ((fillMap & ReducedTrackBarrelPID) > 0) {
values[kTPCnSigmaEl] = track.tpcNSigmaEl();
values[kTPCnSigmaMu] = track.tpcNSigmaMu();
values[kTPCnSigmaPi] = track.tpcNSigmaPi();
values[kTPCnSigmaKa] = track.tpcNSigmaKa();
values[kTPCnSigmaPr] = track.tpcNSigmaPr();
values[kTOFnSigmaEl] = track.tofNSigmaEl();
values[kTOFnSigmaMu] = track.tofNSigmaMu();
values[kTOFnSigmaPi] = track.tofNSigmaPi();
values[kTOFnSigmaKa] = track.tofNSigmaKa();
values[kTOFnSigmaPr] = track.tofNSigmaPr();
values[kTPCsignal] = track.tpcSignal();
values[kTRDsignal] = track.trdSignal();
values[kTOFsignal] = track.tofSignal();
values[kTOFbeta] = track.beta();
}
if constexpr ((fillMap & ReducedTrackMuon) > 0) {
values[kMuonInvBendingMomentum] = track.inverseBendingMomentum();
values[kMuonThetaX] = track.thetaX();
values[kMuonThetaY] = track.thetaY();
values[kMuonZMu] = track.zMu();
values[kMuonBendingCoor] = track.bendingCoor();
values[kMuonNonBendingCoor] = track.nonBendingCoor();
values[kMuonChi2] = track.chi2();
values[kMuonChi2MatchTrigger] = track.chi2MatchTrigger();
}
FillTrackDerived(values);
}
template <typename T>
void VarManager::FillPair(T const& t1, T const& t2, float* values)
{
if (!values)
values = fgValues;
// TODO: build the mass using the (pt,eta,phi) which are pre-calculated
values[kMass] = fgkElectronMass * fgkElectronMass;
values[kMass] = 2.0 * values[kMass] + 2.0 * (sqrt(values[kMass] + t1.pmom() * t1.pmom()) * sqrt(values[kMass] + t2.pmom() * t2.pmom()) -
t1.px() * t2.px() - t1.py() * t2.py() - t1.pz() * t2.pz());
}
#endif